Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
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Frisvad, Jeppe Revall

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Surface roughness of as-printed polymers:a comprehensive review75citations
  • 2023Surface roughness of as-printed polymers75citations
  • 2023Surface Roughness and Grain Size Variation When 3D Printing Polyamide 11 Parts Using Selective Laser Sintering15citations
  • 2023Surface roughness of as-printed polymers: a comprehensive review75citations
  • 2020Microstructure Control in 3D Printing with Digital Light Processing55citations
  • 2018A method for the characterization of the reflectance of anisotropic functional surfaces5citations
  • 2017A comparison of reflectance properties on polymer micro-structured functional surfacecitations

Places of action

Chart of shared publication
Strandlie, Are
3 / 6 shared
Golhin, Ali Payami
2 / 2 shared
Grammatikos, Sotirios
3 / 10 shared
Tonello, Riccardo
4 / 6 shared
Conradsen, Knut
1 / 4 shared
Pedersen, David Bue
2 / 81 shared
Payami Golhin, Ali
1 / 1 shared
Falster, Viggo
1 / 1 shared
Luongo, A.
1 / 1 shared
Doest, M. B.
1 / 1 shared
Ribo, M. M.
1 / 1 shared
Eiriksson, Eythor Runar
1 / 1 shared
Tosello, Guido
2 / 101 shared
Zhang, Yang
2 / 38 shared
Regi, Francesco
2 / 7 shared
Li, Dongya
2 / 4 shared
Aanæs, Henrik
2 / 5 shared
Nielsen, J. B.
1 / 1 shared
Madsen, M. H.
1 / 3 shared
Nielsen, Jannik Boll
1 / 4 shared
Chart of publication period
2023
2020
2018
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Co-Authors (by relevance)

  • Strandlie, Are
  • Golhin, Ali Payami
  • Grammatikos, Sotirios
  • Tonello, Riccardo
  • Conradsen, Knut
  • Pedersen, David Bue
  • Payami Golhin, Ali
  • Falster, Viggo
  • Luongo, A.
  • Doest, M. B.
  • Ribo, M. M.
  • Eiriksson, Eythor Runar
  • Tosello, Guido
  • Zhang, Yang
  • Regi, Francesco
  • Li, Dongya
  • Aanæs, Henrik
  • Nielsen, J. B.
  • Madsen, M. H.
  • Nielsen, Jannik Boll
OrganizationsLocationPeople

article

Microstructure Control in 3D Printing with Digital Light Processing

  • Falster, Viggo
  • Luongo, A.
  • Doest, M. B.
  • Ribo, M. M.
  • Eiriksson, Eythor Runar
  • Frisvad, Jeppe Revall
  • Pedersen, David Bue
Abstract

<p>Digital light processing stereolithography is a promising technique for 3D printing. However, it offers little control over the surface appearance of the printed object. The printing process is typically layered, which leads to aliasing artefacts that affect surface appearance. An antialiasing option is to use greyscale pixel values in the layer images that we supply to the printer. This enables a kind of subvoxel growth control. We explore this concept and use it for editing surface microstructure. In other words, we modify the surface appearance of a printed object by applying a greyscale pattern to the surface voxels before sending the cross-sectional layer images to the printer. We find that a smooth noise function is an excellent tool for varying surface roughness and for breaking the regularities that lead to aliasing. Conversely, we also present examples that introduce regularities to produce controlled anisotropic surface appearance. Our hope is that subvoxel growth control in stereolithography can lead 3D printing towards customizable surface appearance. The printing process adds what we call ground noise to the printed result. We suggest a way of modelling this ground noise to provide users with a tool for estimating a printer's ability to control surface reflectance.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • surface
  • anisotropic
  • layered